Advanced Computing in the Age of AI | Saturday, November 27, 2021

MLOps

Landing AI, Andrew Ng’s Computer Vision Startup, Secures $57 Million in Series A Funding

Landing AI, the computer vision startup founded by the computer scientist Andrew Ng to use AI to modernize business process in real-world companies, today announced that it has raised ...Full Article

New Relic, Mona Labs Partner to Provide Deep Monitoring for Production AI Workloads

New Relic’s cloud-based software stack observability platform is being combined with AI monitoring from Mona Labs to help enterprises better monitor, analyze and troubleshoot their growing production AI workloads. ...Full Article

Spell Bringing MLOps to Deep Learning to Ease the Deep Learning Path for Enterprises

Making machine learning operations easier to use, manage and organize for enterprises has always been the goal of the series of best practices known as MLOps. But while MLOps ...Full Article

DataRobot’s Busy Day: Nabs $300M in Series G Funding and Acquires Algorithmia

In a move to solidify its position in the emerging market for enterprise AI platforms, DataRobot today announced the completion of a $300 million Series G round of funding. ...Full Article

Blaize, AI Chip Startup, Adds Edge Tool

As AI moves inexorably to the edge, placing machine learning models closer to where data is generated, more tools are emerging to enable ML operations needed for AI-based application ...Full Article

AI Developers Adjust to ‘New Normal’

The pandemic has shifted the focus of disrupted enterprise AI and machine learning projects from financial analysis and consumer insight to cost cutting and customer engagement, according to a ...Full Article

Getting Maximum Value from AI Deployments

Artificial intelligence presents tremendous business opportunity, and organizations are increasingly investing in this technology to experience the value it can deliver. One survey of leading companies shows that the ...Full Article

AutoML Startup dotData Supports Container-Based Models

As data science platforms expand across enterprise applications like predictive analytics, automated machine learning vendors are steadily integrating AI models with emerging infrastructure to ease deployment and orchestration. For ...Full Article

MLOps Initiatives Seek to Boost Stalled Deployments

The deployment of machine learning models in production is failing to keep pace with the everyday operations of hyper-scalers. Those scaling and deployment gaps are being addressed through collaborations ...Full Article
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